Beyond Scaling: New Architectures Key for AGI

Leading AI researchers, including Yann LeCun, argue that merely scaling large language models will not achieve human-level intelligence. New architectures or approaches may be required to reach AGI. Current models, despite impressive results, face limitations in learning efficiency, robustness, and generalization. Experts suggest that innovation in AI design, rather than just expanding compute and data, is essential for machines to demonstrate true general intelligence.